Triple
T20868762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faisal II of Iraq |
E513833
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Faisal |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Faisal | Statement: [Faisal II of Iraq, givenName, Faisal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faisal Context triple: [Faisal II of Iraq, givenName, Faisal]
-
A.
Faisal
chosen
Faisal is a male given name of Arabic origin, historically borne by several notable Middle Eastern leaders and royals.
-
B.
Fuad
Fuad is a character in the Italian romantic comedy film "The Tiger and the Snow," which blends humor and drama against the backdrop of the Iraq War.
-
C.
Muhammad Ibrahim
Muhammad Ibrahim, better known as Sardar Muhammad Ibrahim Khan, was a prominent Kashmiri political leader and the founding President of Azad Jammu and Kashmir.
-
D.
Shah Karim al-Husayni
Shah Karim al-Husayni, known as Aga Khan IV, is the 49th hereditary Imam of the Nizari Ismaili Muslims and a prominent philanthropist and spiritual leader.
-
E.
Husayni
Husayni is a variant of the prominent Palestinian family name al-Husseini, historically associated with notable religious and political leaders in Jerusalem.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4624ce48190b85e5bb24cf0a305 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.